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DBMS > Google BigQuery vs. Manticore Search vs. Oracle NoSQL vs. QuestDB

System Properties Comparison Google BigQuery vs. Manticore Search vs. Oracle NoSQL vs. QuestDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonManticore Search  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMulti-storage database for search, including full-text search.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA high performance open source SQL database for time series data
Primary database modelRelational DBMSSearch engineDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score2.96
Rank#103  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitecloud.google.com/­bigquerymanticoresearch.comwww.oracle.com/­database/­nosql/­technologies/­nosqlquestdb.io
Technical documentationcloud.google.com/­bigquery/­docsmanual.manticoresearch.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlquestdb.io/­docs
DeveloperGoogleManticore SoftwareOracleQuestDB Technology Inc
Initial release2010201720112014
Current release6.0, February 202323.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava (Zero-GC), C++, Rust
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
Solaris SPARC/x86
Linux
macOS
Windows
Data schemeyesFixed schemaSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanoptionalyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noCan index from XMLnono
Secondary indexesnoyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methodsRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptuser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datayes infoisolated transactions for atomic changes and binary logging for safe writesconfigurable infoACID within a storage node (=shard)ACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes infothrough memory mapped files
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noAccess rights for users and roles
More information provided by the system vendor
Google BigQueryManticore SearchOracle NoSQLQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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